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Predictive Modeling for Purchase Value (Kaggle Competition — IIT Madras) Developed regression models to forecast e-commerce purchaseValue using session-level clickstream data (~116K records, 51 features). Applied EDA, feature engineering, dimensionality reduction, and advanced models (XGBoost, LightGBM, ElasticNet) with stacked ensembling.